Buscador Semántico Biomédico

  1. Martín Valdivia, María Teresa
  2. Ureña López, Luis Alfonso
  3. López-Úbeda, Pilar
  4. Díaz Galiano, Manuel Carlos
  5. Montejo Ráez, Arturo
  6. Martínez Santiago, Fernando
  7. Andreu-Marín, Alberto
Journal:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Year of publication: 2018

Issue: 61

Pages: 189-192

Type: Article

More publications in: Procesamiento del lenguaje natural

Abstract

The Biomedical Semantic Information Retrieval system is an easy web solution to medical term identification, retrieval of specialized literature and semantic concept browsing thanks to the integration, with constraints in speed and high availability, of medical ontologies, text analysis, entity recognition and information retrieval from multiple sources. The result is an intuitive application, yet powerful, that performs term identification of medical concepts over any text with a simple click. Over identified terms the user is able conduct sub-concept selection to fine-tune the retrieval process over resources like SciELO, Google Scholar and Medline. Besides, the system generates a conceptual graph automatically which semantically relates all the terms found in the text.

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